國立虎尾科技大學 |

Natural Computing Algorithms

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Natural Computing Algorithms/ by Anthony Brabazon, Michael O'Neill, Seán McGarraghy.
作者:	Brabazon, Anthony.
其他作者:	O'Neill, Michael.
面頁冊數:	XX, 554 p. 164 illus., 22 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Computers. -
電子資源:	https://doi.org/10.1007/978-3-662-43631-8
ISBN:	9783662436318

Natural Computing Algorithms
Brabazon, Anthony.

Natural Computing Algorithms[electronic resource] /by Anthony Brabazon, Michael O'Neill, Seán McGarraghy. - 1st ed. 2015. - XX, 554 p. 164 illus., 22 illus. in color.online resource. - Natural Computing Series,1619-7127. - Natural Computing Series,.

Introduction -- Introduction to Evolutionary Computing -- Genetic Algorithms -- Extending the Genetic Algorithm -- Evolution Strategies and Evolutionary Programming -- Differential Evolution -- Genetic Programming -- Particle Swarm Algorithms -- Ant Algorithms -- Honeybee Algorithms -- Other Social Algorithms -- Bacterial Foraging Algorithms -- Neural Networks for Supervised Learning -- Neural Networks for Unsupervised Learning -- Neuroevolution -- Artificial Immune Systems -- An Introduction to Developmental and Grammatical Computing -- Grammar-Based and Developmental Genetic Programming -- Grammatical Evolution -- TAG3P and Developmental TAG3P -- Genetic Regulatory Networks -- An Introduction to Physics-Inspired Computing -- Physics-Inspired Computing Algorithms -- Quantum-Inspired Evolutionary Algorithms -- Plant-Inspired Algorithms -- Chemistry-Inspired Algorithms -- Conclusions -- References -- Index.

The field of natural computing has been the focus of a substantial research effort in recent decades. One particular strand of this research concerns the development of computational algorithms using metaphorical inspiration from systems and phenomena that occur in the natural world. These naturally inspired computing algorithms have proven to be successful problem-solvers across domains as diverse as management science, bioinformatics, finance, marketing, engineering, architecture and design. This book is a comprehensive introduction to natural computing algorithms, suitable for academic and industrial researchers and for undergraduate and graduate courses on natural computing in computer science, engineering and management science.

ISBN: 9783662436318

Standard No.: 10.1007/978-3-662-43631-8doiSubjects--Topical Terms:

565115
Computers.

LC Class. No.: QA75.5-76.95

Dewey Class. No.: 004.0151

Natural Computing Algorithms
LDR:03130nam a22004335i 4500 001 968892
003 DE-He213
005 20200630071556.0
007 cr nn 008mamaa
008 201211s2015 gw | s |||| 0|eng d
020 $a 9783662436318 $9 978-3-662-43631-8
024 7 $a 10.1007/978-3-662-43631-8 $2 doi
035 $a 978-3-662-43631-8
050 4 $a QA75.5-76.95
050 4 $a QA76.63
072 7 $a UY $2 bicssc
072 7 $a COM014000 $2 bisacsh
072 7 $a UY $2 thema
072 7 $a UYA $2 thema
082 0 4 $a 004.0151 $2 23
100 1 $a Brabazon, Anthony. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 680616
245 1 0 $a Natural Computing Algorithms $h [electronic resource] / $c by Anthony Brabazon, Michael O'Neill, Seán McGarraghy.
250 $a 1st ed. 2015.
264 1 $a Berlin, Heidelberg : $b Springer Berlin Heidelberg : $b Imprint: Springer, $c 2015.
300 $a XX, 554 p. 164 illus., 22 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Natural Computing Series, $x 1619-7127
505 0 $a Introduction -- Introduction to Evolutionary Computing -- Genetic Algorithms -- Extending the Genetic Algorithm -- Evolution Strategies and Evolutionary Programming -- Differential Evolution -- Genetic Programming -- Particle Swarm Algorithms -- Ant Algorithms -- Honeybee Algorithms -- Other Social Algorithms -- Bacterial Foraging Algorithms -- Neural Networks for Supervised Learning -- Neural Networks for Unsupervised Learning -- Neuroevolution -- Artificial Immune Systems -- An Introduction to Developmental and Grammatical Computing -- Grammar-Based and Developmental Genetic Programming -- Grammatical Evolution -- TAG3P and Developmental TAG3P -- Genetic Regulatory Networks -- An Introduction to Physics-Inspired Computing -- Physics-Inspired Computing Algorithms -- Quantum-Inspired Evolutionary Algorithms -- Plant-Inspired Algorithms -- Chemistry-Inspired Algorithms -- Conclusions -- References -- Index.
520 $a The field of natural computing has been the focus of a substantial research effort in recent decades. One particular strand of this research concerns the development of computational algorithms using metaphorical inspiration from systems and phenomena that occur in the natural world. These naturally inspired computing algorithms have proven to be successful problem-solvers across domains as diverse as management science, bioinformatics, finance, marketing, engineering, architecture and design. This book is a comprehensive introduction to natural computing algorithms, suitable for academic and industrial researchers and for undergraduate and graduate courses on natural computing in computer science, engineering and management science.
650 0 $a Computers. $3 565115
650 0 $a Computational intelligence. $3 568984
650 0 $a Artificial intelligence. $3 559380
650 0 $a Operations research. $3 573517
650 0 $a Management science. $3 719678
650 0 $a Decision making. $3 528319
650 0 $a Economics, Mathematical . $3 1253712
650 1 4 $a Theory of Computation. $3 669322
650 2 4 $a Computational Intelligence. $3 768837
650 2 4 $a Artificial Intelligence. $3 646849
650 2 4 $a Operations Research, Management Science. $3 785065
650 2 4 $a Operations Research/Decision Theory. $3 669176
650 2 4 $a Quantitative Finance. $3 669372
700 1 $a O'Neill, Michael. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 833107
700 1 $a McGarraghy, Seán. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1264501
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783662436301
776 0 8 $i Printed edition: $z 9783662436325
776 0 8 $i Printed edition: $z 9783662501160
830 0 $a Natural Computing Series, $x 1619-7127 $3 1256952
856 4 0 $u https://doi.org/10.1007/978-3-662-43631-8
912 $a ZDB-2-SCS
912 $a ZDB-2-SXCS
950 $a Computer Science (SpringerNature-11645)
950 $a Computer Science (R0) (SpringerNature-43710)